Your browser doesn't support javascript.
loading
Dockground Tool for Development and Benchmarking of Protein Docking Procedures.
Kundrotas, Petras J; Kotthoff, Ian; Choi, Sherman W; Copeland, Matthew M; Vakser, Ilya A.
  • Kundrotas PJ; Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS, USA. pkundro@ku.edu.
  • Kotthoff I; Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS, USA.
  • Choi SW; Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS, USA.
  • Copeland MM; Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS, USA.
  • Vakser IA; Computational Biology Program and Department of Molecular Biosciences, The University of Kansas, Lawrence, KS, USA. vakser@ku.edu.
Methods Mol Biol ; 2165: 289-300, 2020.
Article en En | MEDLINE | ID: mdl-32621232
Databases of protein-protein complexes are essential for the development of protein modeling/docking techniques. Such databases provide a knowledge base for docking algorithms, intermolecular potentials, search procedures, scoring functions, and refinement protocols. Development of docking techniques requires systematic validation of the modeling protocols on carefully curated benchmark sets of complexes. We present a description and a guide to the DOCKGROUND resource ( http://dockground.compbio.ku.edu ) for structural modeling of protein interactions. The resource integrates various datasets of protein complexes and other data for the development and testing of protein docking techniques. The sets include bound complexes, experimentally determined unbound, simulated unbound, model-model complexes, and docking decoys. The datasets are available to the user community through a Web interface.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Conformación Proteica / Programas Informáticos / Simulación del Acoplamiento Molecular Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Conformación Proteica / Programas Informáticos / Simulación del Acoplamiento Molecular Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article